[HTML][HTML] The Collection 6 MODIS burned area mapping algorithm and product

L Giglio, L Boschetti, DP Roy, ML Humber… - Remote sensing of …, 2018 - Elsevier
Abstract The two Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on-
board NASA's Terra and Aqua satellites have provided nearly two decades of global fire …

[HTML][HTML] Landsat-8 and Sentinel-2 burned area mapping-A combined sensor multi-temporal change detection approach

DP Roy, H Huang, L Boschetti, L Giglio, L Yan… - Remote Sensing of …, 2019 - Elsevier
The free-availability of global coverage Landsat-8 and Sentinel-2 data provides the
opportunity for systematic generation of medium spatial resolution land products. This paper …

Global patterns of interannual climate–fire relationships

JT Abatzoglou, AP Williams, L Boschetti… - Global change …, 2018 - Wiley Online Library
Climate shapes geographic and seasonal patterns in global fire activity by mediating
vegetation composition, productivity, and desiccation in conjunction with land‐use and …

[HTML][HTML] Global validation of the collection 6 MODIS burned area product

L Boschetti, DP Roy, L Giglio, H Huang… - Remote sensing of …, 2019 - Elsevier
This paper presents a Stage 3 validation of the recently released Collection 6 NASA
MCD64A1 500 m global burned area product. The product is validated by comparison with …

Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey

D Pflugmacher, A Rabe, M Peters, P Hostert - Remote sensing of …, 2019 - Elsevier
This study analyzed, for the first time, the potential of combining the large European-wide
land survey LUCAS (Land Use/Cover Area frame Survey) and Landsat-8 data for mapping …

A combined random forest and OBIA classification scheme for mapping smallholder agriculture at different nomenclature levels using multisource data (simulated …

V Lebourgeois, S Dupuy, É Vintrou, M Ameline… - Remote Sensing, 2017 - mdpi.com
Sentinel-2 images are expected to improve global crop monitoring even in challenging
tropical small agricultural systems that are characterized by high intra-and inter-field spatial …

[HTML][HTML] Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies

MA Belenguer-Plomer, MA Tanase… - Remote Sensing of …, 2019 - Elsevier
This paper presents a burned area mapping algorithm based on change detection of
Sentinel-1 backscatter data guided by thermal anomalies. The algorithm self-adapts to the …

Comparative assessment of the measures of thematic classification accuracy

C Liu, P Frazier, L Kumar - Remote sensing of environment, 2007 - Elsevier
Accuracy assessment of classified imagery is an important task in remote sensing. Various
measures have been developed to describe and compare the accuracy of maps and the …

Deep learning high resolution burned area mapping by transfer learning from Landsat-8 to PlanetScope

VS Martins, DP Roy, H Huang, L Boschetti… - Remote Sensing of …, 2022 - Elsevier
High spatial resolution commercial satellite data provide new opportunities for terrestrial
monitoring. The recent availability of near-daily 3 m observations provided by the …

[HTML][HTML] Virtual constellations for global terrestrial monitoring

MA Wulder, T Hilker, JC White, NC Coops… - Remote Sensing of …, 2015 - Elsevier
Free and open access to satellite imagery and value-added data products have
revolutionized the role of remote sensing in Earth system science. Nonetheless, rapid …